Update app.py
Browse files
app.py
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@@ -406,6 +406,10 @@ def file_upload(file):
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intro = """
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<div style="display: flex;align-items: center;justify-content: center">
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<h1 style="margin-left: 12px;text-align: center;margin-bottom: 7px;display: inline-block">weights2weights</h1>
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@@ -418,51 +422,122 @@ intro = """
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display: inline-block;
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">
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<img style="margin-top: -1em;margin-bottom: 0em;position: absolute;" src="https://bit.ly/3CWLGkA" alt="Duplicate Space"></a>
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</p>
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with gr.Blocks(css="style.css") as demo:
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gr.HTML(intro)
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with gr.Row():
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with gr.Column():
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input_image = gr.Image(label="
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#invert_button = gr.Button("⏪ Invert")
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with gr.Column():
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image_slider = ImageSlider(position=0.5, type="pil", height=512, width=512)
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with gr.Row():
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demo.queue().launch()
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intro = """
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<div style="display: flex;align-items: center;justify-content: center">
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<h1 style="margin-left: 12px;text-align: center;margin-bottom: 7px;display: inline-block">weights2weights</h1>
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display: inline-block;
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">
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<img style="margin-top: -1em;margin-bottom: 0em;position: absolute;" src="https://bit.ly/3CWLGkA" alt="Duplicate Space"></a>
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</p>
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"""
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with gr.Blocks(css="style.css") as demo:
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gr.HTML(intro)
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gr.Markdown("""
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Click sample (to sample an identity) *or* upload an image & click `invert` to get started ✨
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> 💡 When inverting, draw a mask over the face for improved results.
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> To use a model previously downloaded from this demo see `Uplaoding a model` in the `Advanced options`
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""")
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with gr.Column():
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with gr.Row():
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with gr.Column():
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# input_image = gr.Image(source='upload', elem_id="image_upload", tool='sketch', type='pil', label="Upload image and draw to define mask",
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# height=512, width=512, brush_color='#00FFFF', mask_opacity=0.6)
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input_image = gr.ImageEditor(elem_id="image_upload", type='pil', label="Upload image and draw to define mask",
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height=512, width=512, brush=gr.Brush(), layers=False)
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with gr.Row():
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sample = gr.Button("🎲 Sample New Model")
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invert_button = gr.Button("⏪ Invert")
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with gr.Column():
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image_slider = ImageSlider(position=0.5, type="pil", height=512, width=512)
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# gallery1 = gr.Image(label="Identity from Original Model",height=512, width=512, interactive=False)
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prompt1 = gr.Textbox(label="Prompt",
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info="Make sure to include 'sks person'" ,
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placeholder="sks person",
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value="sks person")
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# Editing
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with gr.Column():
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#gallery2 = gr.Image(label="Identity from Edited Model", interactive=False, visible=False )
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with gr.Row():
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a1 = gr.Slider(label="- Young +", value=0, step=0.001, minimum=-1, maximum=1, interactive=True)
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a2 = gr.Slider(label="- Pointy Nose +", value=0, step=0.001, minimum=-1, maximum=1, interactive=True)
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with gr.Row():
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a3 = gr.Slider(label="- Curly Hair +", value=0, step=0.001, minimum=-1, maximum=1, interactive=True)
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a4 = gr.Slider(label="- Thick Eyebrows +", value=0, step=0.001, minimum=-1, maximum=1, interactive=True)
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# prompt2 = gr.Textbox(label="Prompt",
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# info="Make sure to include 'sks person'" ,
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# placeholder="sks person",
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# value="sks person", visible=False)
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# seed2 = gr.Number(value=5, label="Seed", precision=0, interactive=True, visible=False)
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# submit2 = gr.Button("Generate", visible=False)
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with gr.Accordion("Advanced Options", open=False):
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with gr.Tab("Inversion"):
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with gr.Row():
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lr = gr.Number(value=1e-1, label="Learning Rate", interactive=True)
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pcs = gr.Slider(label="# Principal Components", value=10000, step=1, minimum=1, maximum=10000, interactive=True)
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with gr.Row():
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epochs = gr.Slider(label="Epochs", value=400, step=1, minimum=1, maximum=2000, interactive=True)
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weight_decay = gr.Number(value=1e-10, label="Weight Decay", interactive=True)
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with gr.Tab("Sampling"):
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with gr.Row():
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cfg1= gr.Slider(label="CFG", value=3.0, step=0.1, minimum=0, maximum=10, interactive=True)
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steps1 = gr.Slider(label="Inference Steps", value=50, step=1, minimum=0, maximum=100, interactive=True)
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seed1 = gr.Number(value=5, label="Seed", precision=0, interactive=True)
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with gr.Row():
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negative_prompt1 = gr.Textbox(label="Negative Prompt", placeholder="low quality, blurry, unfinished, nudity, weapon", value="low quality, blurry, unfinished, nudity, weapon")
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injection_step = gr.Slider(label="Injection Step", value=800, step=1, minimum=0, maximum=1000, interactive=True)
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# with gr.Tab("Editing"):
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# with gr.Column():
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# cfg2 = gr.Slider(label="CFG", value=3.0, step=0.1, minimum=0, maximum=10, interactive=True)
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# steps2 = gr.Slider(label="Inference Steps", value=50, step=1, minimum=0, maximum=100, interactive=True)
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# injection_step = gr.Slider(label="Injection Step", value=800, step=1, minimum=0, maximum=1000, interactive=True)
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# negative_prompt2 = gr.Textbox(label="Negative Prompt", placeholder="low quality, blurry, unfinished, nudity, weapon", value="low quality, blurry, unfinished, nudity, weapon")
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with gr.Tab("Uploading a model"):
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gr.Markdown("""<div style="text-align: justify;">Upload a model below downloaded from this demo.""")
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file_input = gr.File(label="Upload Model", container=True)
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submit1 = gr.Button("Generate")
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gr.Markdown("""<div style="text-align: justify;"> After sampling a new model or inverting, you can download the model below.""")
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with gr.Row():
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file_output = gr.File(label="Download Sampled Model", container=True, interactive=False)
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invert_button.click(fn=run_inversion,
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inputs=[input_image, pcs, epochs, weight_decay,lr],
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outputs = [image_slider, file_output])
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sample.click(fn=sample_then_run, outputs=[input_image, file_output])
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# submit1.click(fn=inference,
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# inputs=[prompt1, negative_prompt1, cfg1, steps1, seed1],
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# outputs=gallery1)
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# submit1.click(fn=edit_inference,
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# inputs=[input_image, prompt1, negative_prompt1, cfg1, steps1, seed1, injection_step, a1, a2, a3, a4],
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# outputs=image_slider)
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submit1.click(
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fn=edit_inference, inputs=[input_image, prompt1, negative_prompt1, cfg1, steps1, seed1, injection_step, a1, a2, a3, a4], outputs=[image_slider]
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)
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file_input.change(fn=file_upload, inputs=file_input, outputs = input_image)
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demo.queue().launch()
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